A Flexible Holomorphic Embedding Method for Integrated Gas and Electricity System

Energy flow calculation is the basis of system planning and optimal scheduling. However, the traditional energy flow calculation method has the problems of sensitive initial value selection and slow convergence in complex scenarios. In this paper, an energy flow calculation method based on flexible holomorphic embedding in the Integrated Gas and Electricity System is proposed. Based on the construction of a flexible holomorphic embedding model, the power series coefficients of the state variables of the system are recursively solved, and the energy flow distribution of the system is obtained. Simulation experiments verify the effectiveness of the proposed algorithm, and show advantages in computational efficiency and convergence performance compared with Newton Raphson method.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/sges63808.2024.10824112
Primary Topic
Vibration and Dynamic Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

A Flexible Holomorphic Embedding Method for Integrated Gas and Electricity System

Zhenguo Shao, Feixiong Chen, Shuyan Liu, Tianhao Huang
Vibration and Dynamic Analysis
article

A Flexible Holomorphic Embedding Method for Integrated Gas and Electricity System

Zhenguo Shao, Feixiong Chen, Shuyan Liu, Tianhao Huang
article en

Abstract

Energy flow calculation is the basis of system planning and optimal scheduling. However, the traditional energy flow calculation method has the problems of sensitive initial value selection and slow convergence in complex scenarios. In this paper, an energy flow calculation method based on flexible holomorphic embedding in the Integrated Gas and Electricity System is proposed. Based on the construction of a flexible holomorphic embedding model, the power series coefficients of the state variables of the system are recursively solved, and the energy flow distribution of the system is obtained. Simulation experiments verify the effectiveness of the proposed algorithm, and show advantages in computational efficiency and convergence performance compared with Newton Raphson method.

Fuzhou University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 69%
Vibration and Dynamic Analysis
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A Flexible Holomorphic Embedding Method for Integrated Gas and Electricity System — Zhenguo Shao, Feixiong Chen, et al. · (2024) | TGRS Research Map | TGRS